alex-matton / causal-transformer-decoderLinks
☆72Updated 4 years ago
Alternatives and similar repositories for causal-transformer-decoder
Users that are interested in causal-transformer-decoder are comparing it to the libraries listed below
Sorting:
- Relative Positional Encoding for Transformers with Linear Complexity☆65Updated 3 years ago
- Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena☆206Updated 2 years ago
- Implementation of Gated State Spaces, from the paper "Long Range Language Modeling via Gated State Spaces", in Pytorch☆101Updated 2 years ago
- ☆164Updated 2 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆123Updated 4 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆120Updated 4 years ago
- Pytorch implementation of Compressive Transformers, from Deepmind☆162Updated 4 years ago
- A variant of Transformer-XL where the memory is updated not with a queue, but with attention☆49Updated 5 years ago
- Implementation of Insertion-deletion Denoising Diffusion Probabilistic Models☆30Updated 3 years ago
- Sequence modeling with Mega.☆300Updated 2 years ago
- Representation learning for NLP @ JSALT19☆39Updated 4 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Updated 3 years ago
- Standalone Product Key Memory module in Pytorch - for augmenting Transformer models☆83Updated last year
- Implementation of Imputer: Sequence Modelling via Imputation and Dynamic Programming in PyTorch☆58Updated 5 years ago
- Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch☆42Updated 2 years ago
- Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning☆165Updated last year
- A Pytorch Implementations for Various Vector Quantization Methods☆32Updated 4 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆227Updated 3 years ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆76Updated 2 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- ResiDual: Transformer with Dual Residual Connections, https://arxiv.org/abs/2304.14802☆95Updated 2 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆63Updated 3 years ago
- Code for the paper PermuteFormer☆42Updated 4 years ago
- Adaptive Gradient Clipping☆149Updated 3 years ago
- Sequence Modeling with Structured State Spaces☆66Updated 3 years ago
- Code for "Finetuning Pretrained Transformers into Variational Autoencoders"☆39Updated 3 years ago
- PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)☆66Updated 4 years ago
- Contrastive Language-Audio Pretraining☆88Updated 3 years ago
- [NeurIPS 2022] Your Transformer May Not be as Powerful as You Expect (official implementation)☆32Updated 2 years ago
- Unofficial PyTorch Implementation for pNLP-Mixer: an Efficient all-MLP Architecture for Language (https://arxiv.org/abs/2202.04350)☆64Updated 3 years ago